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accession-icon GSE54356
Gene regulation in denervated hairy skin of the adult rat
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This study aimed to quantify the regulation of transcripts in the hairy skin of the back of adult rats in the condition of loss of sensory and autonomic (sympathetic) innervation (i.e., denervated). Denervated skin has reduced wound healing capacity, reduced proliferation of epidermal progenitor cells, and also expresses factors that regulate ingrowth of sensory and sympathetic axons from neighboring regions of innervated skin. It was expected that this quantification f transcript regulation would offer insight into the general and specific mechanisms that may contribute to these important biological processes.

Publication Title

categoryCompare, an analytical tool based on feature annotations.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE64375
Immediate Transcriptional Changes in Response to High Dose Radiation Exposure
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent biomarkers are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using Affymetrix GeneChip Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.

Publication Title

Transcriptional profile of immediate response to ionizing radiation exposure.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP049142
Mus musculus strain:CL57BL6x129 Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Identification of downstream genes of onecut transcriptions factors in the developing retina

Publication Title

Onecut1 and Onecut2 redundantly regulate early retinal cell fates during development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE78000
Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Invasive aspergillosis (IA) is a devastating opportunistic infection and its treatment constitutes a considerable burden for the health care system. Immunocompromised patients are at an increased risk for IA, which is mainly caused by the species Aspergillus fumigatus. An early and reliable diagnosis is required to initiate the appropriate antifungal therapy. However, diagnostic sensitivity and accuracy still needs to be improved, which can be achieved at least partly by the definition of new biomarkers. Besides the direct detection of the pathogen by the current diagnostic methods, the analysis of the host response is a promising strategy towards this aim. Following this approach, we sought to identify new biomarkers for IA. For this purpose, we analyzed gene expression profiles of haematological patients and compared profiles of patients suffering from IA with non-IA patients. Based on microarray data, we applied a comprehensive feature selection using a random forest classifier. We identified the transcript coding for the S100 calcium-binding protein B (S100B) as a potential new biomarker for the diagnosis of IA. Considering the expression of this gene, we were able to classify samples from patients with IA with 82.3% sensitivity and 74.6% specificity. Moreover, we validated the expression of S100B in a real-time RT-PCR assay and we also found a down-regulation of S100B in A.fumigatus stimulated DCs. An influence on the IL1B and CXCL1 downstream levels was demonstrated by this S100B knockdown. In conclusion, this study covers an effective feature selection revealing a key regulator of the human immune response during IA. S100B may represent an additional diagnostic marker that in combination with the established techniques may improve the accuracy of IA diagnosis.

Publication Title

Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE24558
GBM brain tumors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Glioblastoma stem-like cells give rise to tumour endothelium.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE24557
Exon-level expression profiles of GBM brain tumors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Transcriptome analysis of RNAs from brain tumor

Publication Title

Glioblastoma stem-like cells give rise to tumour endothelium.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE24244
Gene expression profiling of four subpopulations in GBM
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GBM is a heterogenous brain tumor with hyperproliferation of endothelial cells. In order to understand the cellular mechanism of vasculogenesis in GBM, four fractions of cells are seperated. Microarray assays was performed to examine the potential lineage relationship and the signal pathways involved in determining the cell identity and function.

Publication Title

Glioblastoma stem-like cells give rise to tumour endothelium.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP055444
Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in Chronic Lymphocytic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

IGHV mutation status is a well-established prognostic factor in chronic lymphocytic leukemia, and also provides crucial insights into tumor cell biology and function. Currently, determination of IGHV transcript sequence, from which mutation status is calculated, requires a specialized laboratory procedure. RNA sequencing is a method that provides high resolution, high dynamic range transcriptome data that can be used for differential expression, isoform discovery, and variant determination. In this paper, we demonstrate that unselected next-generation RNA sequencing can accurately determine the IGH@ sequence, including the complete sequence of the complementarity-determining region 3 (CDR3), and mutation status of CLL cells, potentially replacing the current method which is a specialized, single-purpose Sanger-sequencing based test. Overall design: CLL cells were sequenced by mRNA-seq on the Illumina platform then subjected to the costom bioinformatic pipeline Ig-ID which yields IGH data

Publication Title

Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE39716
Expression data from pheochromocytoma (PHEO) and paraganglioma (PGL) tumor samples
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genotype specific differences in expression profiles have been evaluated using human HuGene1.0-ST Gene Chips. In this dataset we include expression data obtained from 8 normal adrenal medulla and 45 PHEOs/PGLs patient samples.

Publication Title

Genotype and tumor locus determine expression profile of pseudohypoxic pheochromocytomas and paragangliomas.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE57322
Sex-specific mRNA and miRNA expression data from Drosophila larvae, pupae and adults
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sex-biased gene expression and sexual conflict throughout development.

Sample Metadata Fields

Sex

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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